Abstract
The rapidly changing population structure in South Asian countries is observed to be linked with growing social, economic, and environmental problems. Therefore, to enhance current wave of knowledge, this research investigated the effect of population structure on CO2 emissions in some selected South Asian countries (Pakistan, India, Bangladesh, Nepal) over the period of 1990–2016. The results showed that age structure is associated with CO2 emissions in the long run in Pakistan, India, Bangladesh, and Nepal. In addition, age structure drives more CO2 emissions in India than in any other countries. People with age less than 15 years and people with age more than 65 years are responsible for increasing CO2 emissions in India. On the other hand, in Pakistan, people of age less than 15 years are responsible for reduction of CO2 emissions in the long run. In Nepal, age group of young people (less than 15 years) exerts negative effects on CO2 emissions. The governments of these countries need to put serious attention toward age structure in order to improve air quality.
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References
Ahmad N, Du L, Lu J et al (2017) Modelling the CO2 emissions and economic growth in Croatia: is there any environmental Kuznets curve? Energy 123:164–172. https://doi.org/10.1016/j.energy.2016.12.106
Fan Y, Liu LC, Wu G, Wei YM (2006) Analyzing impact factors of CO2 emissions using the STIRPAT model. Environ Impact Assess Rev 26:377–395. https://doi.org/10.1016/j.eiar.2005.11.007
Franklin RS, Ruth M (2012) Growing up and cleaning up: the environmental Kuznets curve redux. Appl Geogr 32:29–39. https://doi.org/10.1016/j.apgeog.2010.10.014
Germani AR, Morone P, Testa G (2014) Environmental justice and air pollution: a case study on Italian provinces. Ecol Econ 106:69–82. https://doi.org/10.1016/j.ecolecon.2014.07.010
Guardian (2012) World carbon dioxide emissions data by country: China speeds ahead of the rest | Environment | theguardian.com. https://www.theguardian.com/news/datablog/2011/jan/31/world-carbon-dioxide-emissions-country-data-co2. Accessed 5 Nov 2020
Li W (2018) Impact of population aging on carbon emission in China : a panel data analysis. doi: https://doi.org/10.3390/su10072458
Liddle B (2011) Consumption-driven environmental impact and age structure change in OECD countries: a cointegration-STIRPAT analysis. Demogr Res 24:749–770. https://doi.org/10.4054/DemRes.2011.24.30
Liddle B (2014) Impact of population, age structure, and urbanization on carbon emissions/energy consumption: evidence from macro-level, cross-country analyses. Popul Environ 35:286–304
Liddle B, Lung S (2010) Age-structure, urbanization, and climate change in developed countries: revisiting STIRPAT for disaggregated population and consumption-related environmental impacts. Popul Environ 31:317–343. https://doi.org/10.1007/s11111-010-0101-5
Martínez-Zarzoso I, Maruotti A (2011) The impact of urbanization on CO2 emissions: evidence from developing countries. Ecol Econ 70:1344–1353. https://doi.org/10.1016/j.ecolecon.2011.02.009
Mehmood U (2020a) Globalization-driven CO2 emissions in Singapore: an application of ARDL approach. Environ Sci Pollut Res 28:11317–11322. https://doi.org/10.1007/s11356-020-11368-w
Mehmood U (2020b) Does the modifying role of institutional quality remains homogeneous in GDP-CO 2 emission nexus ? New evidence from ARDL approach, Environ Sci Pollut Res
Mehmood U (2021a) Renewable-nonrenewable energy : institutional quality and environment nexus in South Asian countries
Mehmood U (2021b) The interactional role of globalization in tourism-CO 2 nexus in South Asian countries
Mehmood U, Tariq S (2020a) Globalization and CO2 emissions nexus: evidence from the EKC hypothesis in South Asian countries. Environ Sci Pollut Res 27:1–13. https://doi.org/10.1007/s11356-020-09774-1
Mehmood U, Tariq S (2020b) Globalization and CO 2 emissions nexus: evidence from the EKC hypothesis in South Asian countries. Environ Sci Pollut Res 27:37044–37056. https://doi.org/10.1007/s11356-020-09774-1/Published
Mehmood U, Tariq S, Ul-Haq Z, Meo MS (2020) Does the modifying role of institutional quality remains homogeneous in GDP-CO 2 emission nexus? New evidence from ARDL approach. Environ Sci Pollut Res 2020:1–8. https://doi.org/10.1007/s11356-020-11293-y
Menz T, Welsch H (2012) Population aging and carbon emissions in OECD countries: accounting for life-cycle and cohort effects. Energy Econ 34:842–849. https://doi.org/10.1016/j.eneco.2011.07.016
Okada A (2012) Is an increased elderly population related to decreased CO 2 emissions from road transportation? Energy Policy 45:286–292. https://doi.org/10.1016/j.enpol.2012.02.033
Omran AR, Roudi F (1993) The Middle East population puzzle. undefined
Pesaran MH, Pesaran MH, Shin Y, Smith RP (1999) Pooled mean group estimation of dynamic heterogeneous panels. J Am Stat Assoc 94:621–634. https://doi.org/10.1080/01621459.1999.10474156
Puliafito SE, Puliafito JL, Grand MC (2008) Modeling population dynamics and economic growth as competing species: an application to CO2 global emissions. Ecol Econ 65:602–615
Sheykhi MT (2018) Aging and exposition to social problems in asia with a focus on Iran : a sociological appraisal. Middle East J Age Ageing 15:8–15. https://doi.org/10.5742/mejaa.2018.93290
Tarazkar MH, Dehbidi NK, Ozturk I, Al-mulali U (2020) The impact of age structure on carbon emission in the Middle East: the panel autoregressive distributed lag approach. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-020-08880-4
Tariq S (2017) CO2 emissions from Pakistan and India and their relationship with economic variables. Appl Ecol. Environ Res 15:1301–1312. https://doi.org/10.15666/aeer/1504_13011312
UN (2015a) The world population prospects: 2015 revision | Latest Major Publications - United Nations Department of Economic and Social Affairs. https://www.un.org/en/development/desa/publications/world-population-prospects-2015-revision.html. Accessed 7 Sep 2020
Wang Y, Kang Y, Wang J, Xu L (2017) Panel estimation for the impacts of population-related factors on CO2 emissions: a regional analysis in China. Ecol Indic 78:322–330. https://doi.org/10.1016/j.ecolind.2017.03.032
WDI (2019) World development indicators 2019. The World Bank
Yu Y, ru DY, fan CF (2018) Impact of population aging and industrial structure on CO2 emissions and emissions trend prediction in China. Atmos Pollut Res 9:446–454. https://doi.org/10.1016/j.apr.2017.11.008
Zhu Q, Peng X (2012) The impacts of population change on carbon emissions in China during 1978–2008. Environ Impact Assess Rev 36:1–8. https://doi.org/10.1016/j.eiar.2012.03.003
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Usman Mehmood conducted the analyses and wrote the manuscript. Salman Tariq assisted in writing manuscript and Zia ul Haq supervised the research work.
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Mehmood, U., Tariq, S. & haq, Z.u. Effects of population structure on CO2 emissions in South Asian countries: evidence from panel estimation. Environ Sci Pollut Res 28, 66858–66863 (2021). https://doi.org/10.1007/s11356-021-14976-2
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DOI: https://doi.org/10.1007/s11356-021-14976-2